| N_sites | N_counts | N_detections | rep_period | iterations | burnin | thin |
|---|---|---|---|---|---|---|
| 127 | 3291 | 708 | 7 days | 120000 | 20000 | 10 |
| Yr | 2016 | 2017 | 2018 | 2019 | 2020 |
| sites | 19 | 31 | 19 | 32 | 26 |
| detections | 172 | 202 | 113 | 108 | 113 |
| N.dot.model | 21 | 39 | 31 | 49 | 65 |
| model | description | WAIC | N.total.est |
|---|---|---|---|
| fm7 | counts | 69.99641 | 127 |
| fm6 | lure + jdt + jdtSq | 2960.26811 | 204 |
| fm5 | jdt + jdtSq | 2994.33509 | 247 |
| fm4 | lure + jdt | 3002.02919 | 202 |
| fm2 | jdt | 3048.63247 | 251 |
| fm1 | dot | 3072.02958 | 205 |
| fm3 | lure | 3126.63791 | 246 |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| p[1] | NA | 6541 | 0.367 | 0.367 | 0.32 | 0.42 | 0 | 1.001 |
| p[2] | NA | 1909 | 0.214 | 0.225 | 0.15 | 0.27 | 0 | 1.001 |
| p[3] | NA | 3497 | 0.100 | 0.097 | 0.07 | 0.13 | 0 | 1.001 |
| p[4] | NA | 2290 | 0.072 | 0.068 | 0.04 | 0.10 | 0 | 1.001 |
| p[5] | NA | 1548 | 0.062 | 0.056 | 0.04 | 0.09 | 0 | 1.001 |
| lambda[1] | NA | 10000 | 1.144 | 1.043 | 0.74 | 1.54 | 0 | 1.001 |
| lambda[2] | NA | 2708 | 1.416 | 1.281 | 0.88 | 1.93 | 0 | 1.001 |
| lambda[3] | NA | 4988 | 1.782 | 1.632 | 1.10 | 2.45 | 0 | 1.001 |
| lambda[4] | NA | 2648 | 1.785 | 1.64 | 1.02 | 2.46 | 0 | 1.001 |
| lambda[5] | NA | 1244 | 2.693 | 2.193 | 1.44 | 3.80 | 0 | 1.001 |
| N[36] | NA | 4888 | 1.893 | 2.002 | 1.00 | 3.00 | 0 | 1.0005 |
| N[17] | NA | 10000 | 1.000 | err | 1.00 | 1.00 | err | err |
| N[125] | NA | 3814 | 3.542 | 2.994 | 1.00 | 6.00 | 0 | 1.0008 |
| N[78] | NA | 6396 | 0.733 | 0 | 0.00 | 2.00 | 1 | err |
| N[60] | NA | 6198 | 2.286 | 2.003 | 1.00 | 3.00 | 0 | 1.0008 |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha | jdt | 9116 | 0.445 | 0.447 | 0.37 | 0.52 | 0 | 1.001 |
| alpha0 | NA | 1752 | -2.232 | -2.211 | -2.42 | -2.04 | 0 | 1.001 |
| lambda[1] | NA | 3478 | 3.258 | 3.137 | 2.31 | 4.18 | 0 | 1.001 |
| lambda[2] | NA | 3122 | 2.781 | 2.617 | 1.97 | 3.52 | 0 | 1.001 |
| lambda[3] | NA | 4982 | 1.826 | 1.77 | 1.20 | 2.40 | 0 | 1.001 |
| lambda[4] | NA | 5980 | 1.221 | 1.185 | 0.84 | 1.59 | 0 | 1.001 |
| lambda[5] | NA | 5323 | 1.824 | 1.75 | 1.26 | 2.35 | 0 | 1.001 |
| N[114] | NA | 9535 | 1.165 | err | 1.00 | 2.00 | err | err |
| N[117] | NA | 6212 | 1.779 | 2.002 | 1.00 | 3.00 | 0 | 1.0005 |
| N[43] | NA | 4710 | 4.550 | 4.002 | 3.00 | 6.00 | 0 | 1.001 |
| N[102] | NA | 5700 | 2.735 | 2.999 | 2.00 | 4.00 | 0 | 1.001 |
| N[96] | NA | 8366 | 1.128 | err | 1.00 | 2.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha | lure | 8110 | -0.114 | -0.116 | -0.20 | -0.03 | 0.13005 | 0.9816 |
| alpha0 | NA | 1959 | -2.135 | -2.127 | -2.32 | -1.96 | 0 | 1.001 |
| lambda[1] | NA | 3726 | 3.473 | 3.373 | 2.47 | 4.48 | 0 | 1.001 |
| lambda[2] | NA | 2707 | 2.621 | 2.422 | 1.89 | 3.30 | 0 | 1.001 |
| lambda[3] | NA | 5915 | 1.634 | 1.555 | 1.09 | 2.19 | 0 | 1.001 |
| lambda[4] | NA | 5407 | 1.240 | 1.184 | 0.87 | 1.62 | 0 | 1.001 |
| lambda[5] | NA | 5753 | 1.709 | 1.667 | 1.19 | 2.21 | 0 | 1.001 |
| N[39] | NA | 7096 | 2.930 | 3 | 2.00 | 4.00 | 0 | 1.0009 |
| N[88] | NA | 9655 | 0.031 | err | 0.00 | 0.00 | err | err |
| N[94] | NA | 6901 | 1.371 | 1 | 1.00 | 2.00 | 0 | 1.0001 |
| N[66] | NA | 7025 | 1.940 | err | 1.00 | 3.00 | err | err |
| N[68] | NA | 7053 | 2.088 | err | 1.00 | 3.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha[1] | lureDays | 4712 | -0.461 | -0.461 | -0.58 | -0.35 | 0 | 1.001 |
| alpha[2] | julianDt | 5282 | 0.634 | 0.631 | 0.54 | 0.73 | 0 | 1.001 |
| alpha0 | NA | 1776 | -2.084 | -2.083 | -2.28 | -1.89 | 0 | 1.001 |
| lambda[1] | NA | 3590 | 1.968 | 1.889 | 1.26 | 2.64 | 0 | 1.001 |
| lambda[2] | NA | 3694 | 1.956 | 1.872 | 1.37 | 2.57 | 0 | 1.001 |
| lambda[3] | NA | 5391 | 1.463 | 1.419 | 0.92 | 1.96 | 0 | 1.001 |
| lambda[4] | NA | 6228 | 1.084 | 1.025 | 0.72 | 1.41 | 0 | 1.001 |
| lambda[5] | NA | 5040 | 2.143 | 2.067 | 1.51 | 2.76 | 0 | 1.001 |
| N[38] | NA | 7684 | 1.974 | 1 | 1.00 | 3.00 | 0 | 1.0005 |
| N[31] | NA | 5540 | 1.881 | err | 1.00 | 2.00 | err | err |
| N[4] | NA | 5665 | 2.135 | err | 1.00 | 3.00 | err | err |
| N[14] | NA | 9118 | 1.034 | err | 1.00 | 1.00 | err | err |
| N[29] | NA | 8738 | 3.006 | 2.997 | 2.00 | 5.00 | 0 | 1.0009 |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha[1] | julianDt | 2625 | -0.086 | -0.089 | -0.22 | 0.05 | 0.62267 | 0.8412 |
| alpha[2] | julianDtSq | 2553 | 0.557 | 0.572 | 0.43 | 0.68 | 0 | 1.001 |
| alpha0 | NA | 2071 | -2.232 | -2.219 | -2.41 | -2.05 | 0 | 1.001 |
| lambda[1] | NA | 3910 | 3.800 | 3.681 | 2.73 | 4.82 | 0 | 1.001 |
| lambda[2] | NA | 3434 | 2.379 | 2.287 | 1.72 | 3.04 | 0 | 1.001 |
| lambda[3] | NA | 5764 | 1.917 | 1.9 | 1.28 | 2.51 | 0 | 1.001 |
| lambda[4] | NA | 7056 | 1.129 | 1.094 | 0.78 | 1.47 | 0 | 1.001 |
| lambda[5] | NA | 5562 | 1.839 | 1.797 | 1.29 | 2.35 | 0 | 1.001 |
| N[87] | NA | 7820 | 2.588 | 3 | 2.00 | 4.00 | 0 | 1.0009 |
| N[116] | NA | 8382 | 2.729 | 3.002 | 2.00 | 5.00 | 0 | 1.0009 |
| N[109] | NA | 6562 | 1.832 | 2.002 | 1.00 | 3.00 | 0 | 1.0005 |
| N[25] | NA | 6636 | 2.597 | 3 | 2.00 | 4.00 | 0 | 1.0009 |
| N[52] | NA | 9611 | 0.062 | err | 0.00 | 0.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha[1] | lureDays | 5139 | -0.401 | -0.397 | -0.50 | -0.29 | 0.00000 | 1.0010 |
| alpha[2] | julianDt | 2385 | 0.141 | 0.141 | -0.01 | 0.29 | 0.33039 | 0.9320 |
| alpha[3] | julianDtSq | 2552 | 0.508 | 0.501 | 0.38 | 0.63 | 0.00000 | 1.0010 |
| alpha0 | NA | 2024 | -2.131 | -2.123 | -2.30 | -1.94 | 0.00000 | 1.0010 |
| lambda[1] | NA | 3830 | 2.423 | 2.277 | 1.64 | 3.21 | 0.00000 | 1.0010 |
| lambda[2] | NA | 4019 | 1.817 | 1.735 | 1.28 | 2.37 | 0.00000 | 1.0010 |
| lambda[3] | NA | 6151 | 1.608 | 1.491 | 1.05 | 2.14 | 0.00000 | 1.0010 |
| lambda[4] | NA | 8066 | 1.043 | 1.029 | 0.71 | 1.36 | 0.00000 | 1.0010 |
| lambda[5] | NA | 4780 | 2.126 | 2.050 | 1.49 | 2.75 | 0.00000 | 1.0010 |
| N[123] | NA | 8919 | 3.054 | 2.997 | 2.00 | 5.00 | 0.00000 | 1.0009 |
| N[116] | NA | 7914 | 2.960 | 2.001 | 2.00 | 5.00 | 0.00000 | 1.0009 |
| N[112] | NA | 8646 | 1.449 | 1.000 | 1.00 | 2.00 | 0.00000 | 1.0001 |
| N[2] | NA | 6569 | 2.264 | 2.002 | 1.00 | 3.00 | 0.00000 | 1.0008 |
| N[27] | NA | 6538 | 2.242 | 2.002 | 2.00 | 3.00 | 0.00000 | 1.0009 |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha | counts | 7143 | 34.612 | 34.62 | 32.35 | 36.91 | 0 | 1.001 |
| alpha0 | NA | 7133 | 2.571 | 2.534 | 2.18 | 2.95 | 0 | 1.001 |
| lambda[1] | NA | 10458 | 0.993 | 0.924 | 0.62 | 1.36 | 0 | 1.001 |
| lambda[2] | NA | 10000 | 0.998 | 0.965 | 0.70 | 1.31 | 0 | 1.001 |
| lambda[3] | NA | 10000 | 0.980 | 0.958 | 0.59 | 1.34 | 0 | 1.001 |
| lambda[4] | NA | 10000 | 0.981 | 0.946 | 0.67 | 1.29 | 0 | 1.001 |
| lambda[5] | NA | 10000 | 0.998 | 0.952 | 0.68 | 1.31 | 0 | 1.001 |
| N[9] | NA | 0 | 1.000 | err | 1.00 | 1.00 | err | err |
| N[34] | NA | 0 | 1.000 | err | 1.00 | 1.00 | err | err |
| N[28] | NA | 0 | 1.000 | err | 1.00 | 1.00 | err | err |
| N[89] | NA | 10000 | 1.051 | err | 1.00 | 1.00 | err | err |
| N[82] | NA | 10000 | 1.005 | err | 1.00 | 1.00 | err | err |
## Warning in cor(X, use = "pairwise.complete.obs"): the standard deviation is zero
## Warning: Removed 50 rows containing missing values (geom_bar).
## Warning in cor(X, use = "pairwise.complete.obs"): the standard deviation is zero
## Warning: Removed 50 rows containing missing values (geom_bar).
## Warning in cor(X, use = "pairwise.complete.obs"): the standard deviation is zero
## Warning: Removed 50 rows containing missing values (geom_bar).
## Warning: Removed 3 row(s) containing missing values (geom_path).